makes estimation of large-scale DSGE models computationally feasible. We use our algorithm to estimate the US equity risk … historical stochastic volatility and equity risk premium series display pronounced countercyclical fluctuations …We develop a Bayesian Markov chain Monte Carlo algorithm for estimating risk premia in dynamic stochastic general …

We analyze the relationship between uncertainty and economic growth expectations in Mexico through the Growth at Risk … measures of financial conditions, of economic policy uncertainty, and of risk exposure, as well as to alternative measurements …

This paper estimates a bivariate HEAVY system including daily and intra-daily volatility equations and its macro …-augmented asymmetric power extension. It focuses on economic factors that exacerbate stock market volatility and represent major threats to … commodity markets on stock market realized volatility. Specifically, Economic Policy Uncertainty is shown to be one of the main …

The persistent nature of equity volatility is investigated by means of a multi-factor stochastic volatility model with … model a time-varying generalization of the HAR model for the realized volatility series. It emerges that during the recent … stochastic volatility model suggest that the change in the dynamic structure of the realized volatility during the financial …

rate risk shock increases by 63 percent and the contribution of interest rate risk shocks to business cycle volatility more …Jesús Fernández-Villaverde, Pablo A. Guerrón-Quintana, Juan F. Rubio-Ramírez and Martín Uribe (2011) find that risk … than doubles. Hence, risk matters more in the recalibrated model. However, the recalibrated model does worse in capturing …

We introduce a statistical test for simultaneous jumps in the price of a financial asset and its volatility process … volatility jumps, we design and analyze a nonparametric spectral estimator of the spot volatility process. A simulation study and … important role played by price volatility co-jumps. …

Cholesky multivariate stochastic volatility model. It establishes that estimated covariance matrices, obtained under … alternative orderings of variables, are systemically different when the data exhibits independent volatility dynamics … individual volatility paths becomes. This paper shows that this property is important for empirical applications as alternative …

Cholesky multivariate stochastic volatility model. It establishes that systematically different dynamic restrictions are … divergent when volatility clusters idiosyncratically. It is illustrated that this property is important for empirical … multivariate stochastic volatility model is proposed as a robust alternative …